首页> 外文期刊>Journal of Chemical and Engineering Data: the ACS Journal for Data >Modeling Phase Equilibria for Acid Gas Mixtures using the Cubic-Plus-Association Equation of State. 3. Applications Relevant to Liquid or Supercritical CO2 Transport
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Modeling Phase Equilibria for Acid Gas Mixtures using the Cubic-Plus-Association Equation of State. 3. Applications Relevant to Liquid or Supercritical CO2 Transport

机译:使用三次加缔合状态方程对酸性气体混合物的相平衡进行建模。 3.与液体或超临界CO2输送有关的应用

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The CPA (cubic-plus-association) equation of state is applied in this work to a wide range of systems of relevance to CO2 transport. Both phase equilibria and densities over extensive temperature and pressure ranges are considered. More specifically in this study we first evaluate CPA against density data for both CO2 and CO2-water and for vapor-liquid equilibrium for mixtures of CO2 with various compounds present in transport systems. In all of these cases we consider various possibilities for modeling CO2 (inert, self-associating using two-, three-, and four sites) and the possibility of cross-association with water. Finally, we evaluate the predictive performance of CPA for multicomponent CO2 mixtures in transport systems which also include water, methane, and H2S. The results are compared to both experimental data and selected other approaches from literature. The results for the multicomponent systems are predictions using parameters solely estimated from binary data. The target of this work is two-fold: to assess the performance of the model for mixtures of practical significance but also to identify the best modeling approach so that we can arrive to an "engineering approach" for applying CPA to acid gas mixtures. The overall conclusion is that CPA performs satisfactorily; the model in most cases correlates well binary data and predicts with good accuracy multicomponent vapor-liquid equilibria. Among the various approaches investigated, the best ones are when cross association of CO2 with water is accounted for or when CO2 is considered to be a self-associating molecule (with three or four sites). The final choice on the best approach requires investigating a much larger set of mixtures including also alcohols and glycols, which will be considered in future works.
机译:在这项工作中,将CPA(立方加关联)状态方程应用于与CO2传输相关的各种系统。在广泛的温度和压力范围内均考虑了相平衡和密度。更具体地说,在本研究中,我们首先针对CO2和CO2-水的密度数据以及运输系统中存在的CO2与各种化合物的混合物的气液平衡评估了CPA。在所有这些情况下,我们都考虑了对CO2建模的各种可能性(惰性,使用两个,三个和四个位点进行自缔合)以及与水交叉缔合的可能性。最后,我们评估了运输系统(包括水,甲烷和H2S)中多组分CO2混合物的CPA预测性能。将结果与实验数据和文献中选择的其他方法进行比较。多组分系统的结果是使用仅根据二进制数据估算的参数进行的预测。这项工作的目标有两个:评估具有实际意义的混合物的模型性能,同时确定最佳的建模方法,以便我们可以找到一种将CPA应用于酸性气体混合物的“工程方法”。总体结论是,注册会计师的表现令人满意;在大多数情况下,该模型可以很好地关联二元数据,并可以高精度预测多组分气液平衡。在研究的各种方法中,最好的方法是考虑到CO2与水的交叉缔合或当CO2被认为是自缔合分子(具有三个或四个位点)时。最佳方法的最终选择需要研究更多的混合物,包括醇和乙二醇,这些混合物将在以后的工作中加以考虑。

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